Brennan P F
Case Western Reserve University, Cleveland, OH 44106-4904, USA.
J Am Med Inform Assoc. 1995 Jul-Aug;2(4):250-9. doi: 10.1136/jamia.1995.96010394.
This article explores the application of normative decision theory (NDT) to the challenge of facilitating and measuring patient satisfaction. Patient satisfaction is the appraisal, by an individual, of the extent to which the care provided has met that individual's expectations and preferences. Classic decision analysis provides a graphic and computational strategy to link patient preferences for outcomes to the treatment choices likely to produce the outcomes. Multiple criteria models enable the complex judgment task of measuring patient satisfaction to be decomposed into elemental factors that reflect patient preferences, thus facilitating evaluation of care in terms of factors relevant to the individual patient. Through the application of NDT models, it is possible to use patient preferences as a guide to the treatment planning and care monitoring process and to construct measures of patient satisfaction that are meaningful to the individual. Nursing informatics, with its foundations in both information management and decision sciences, provides the tools and data necessary to promote care provided in accord with patient preferences and to ensure appraisal of satisfaction that aptly captures the complex, multidimensional nature of patient preferences.
本文探讨规范决策理论（NDT）在促进和衡量患者满意度这一挑战中的应用。患者满意度是个体对所提供的护理在多大程度上满足其期望和偏好的评价。经典决策分析提供了一种图形化和计算性的策略，将患者对结果的偏好与可能产生这些结果的治疗选择联系起来。多标准模型使衡量患者满意度这一复杂的判断任务能够分解为反映患者偏好的基本因素，从而便于根据与个体患者相关的因素来评估护理。通过应用NDT模型，可以将患者偏好用作治疗规划和护理监测过程的指南，并构建对个体有意义的患者满意度衡量指标。护理信息学以信息管理和决策科学为基础，提供了必要的工具和数据，以促进根据患者偏好提供护理，并确保对满意度的评估能够恰当地体现患者偏好的复杂、多维度性质。
